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Online Generated Kick Motions for the NAO Balanced Using Inverse Dynamics

  • Felix Wenk
  • Thomas Röfer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8371)

Abstract

One of the major tasks of playing soccer is kicking the ball. Executing such complex motions is often solved by interpolating key-frames of the entire motion or by using predefined trajectories of the limbs of the soccer robot. In this paper we present a method to generate the trajectory of the kick foot online and to move the rest of the robot’s body such that it is dynamically balanced. To estimate the balance of the robot, its Zero-Moment Point (ZMP) is calculated from its movement using the solution of the Inverse Dynamics. To move the ZMP, we use either a Linear Quadratic Regulator on the local linearization of the ZMP or the Cart-Table Preview Controller and compare their performances.

Keywords

Joint Angle Humanoid Robot Ball Position Linear Quadratic Regulator Bezier Curve 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Felix Wenk
    • 1
  • Thomas Röfer
    • 2
  1. 1.Fachbereich 3 - Mathematik und InformatikUniversität BremenBremenGermany
  2. 2.Cyber-Physical SystemsDeutsches Forschungszentrum für Künstliche IntelligenzBremenGermany

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